import pandas as pd
import numpy as np
import geopandas as gpd
from bokeh.plotting import figure, output_file, show
import bokeh.palettes
from bokeh.models import (ColumnDataSource, GeoJSONDataSource, HoverTool, LogColorMapper, ColorBar, BasicTickFormatter)
from bokeh.layouts import row
from bokeh.io import output_notebook
output_notebook()
import statsmodels.api as statsmodels

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Solar Installations in the United States

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Sarah Unbehaun
May 2018

The Data

Feature Importance

Based on Random Forest regression

Top predictors:

• Population
• Number of small buildings
• Direct Normal Irradiance (DNI)
• Average cost per watt

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Other predictors:

• Median Income
• Percent democratic votes, 2004, 2008 and 2012
• Electricity price
• Area in square miles
• Percent of small buildings suitable for solar

show(row(c, ca))

show(row(m, ma))

Questions?

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